Seaborn side by side histogram

Last UpdatedMarch 5, 2024

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histogram () and is the basis for pandas’ plotting functions. The process of calculating groupwise proportion is similar with small difference. displot and Axes level seaborn. Here's my code and plot: # Iris Dataset. X 1 53 12 513 135 125 21 54 1231 I did import pandas as pd import matplotlib. 'stepfilled' generates a lineplot that is by default filled. 4, w_pad=0. Figure and matplotlib. pyplot as plt. You can combine the two data rows in one single plot by adding the data rows in a list inside your plt. To make this highly specialized plot, we can't use the standard hist method. Two major reasons for that: Credit: Google Image. hist () is a widely used histogram plotting function that uses np. Aug 12, 2020 · 16. From my search on Stackoverflow, I came up with the approach below. hist function call as a list of lists. the width of a bin is 1; The questions are: Aug 26, 2018 · 12. My code below shows the plot for only the first feature and all other come empty. To import the library: import seaborn as sns. A grouped bar plot allows for the representation of different groups side by side for each category. Emulating deprecated seaborn distplots. histplot, which have a stat parameter. suptitle('A single ax with no data') Thus, we can give two arguments to subplots functions: nrows and ncols. To do this, we create a list of the arrival delays for each airline, and then pass this into the plt. Passed to numpy. show() In this case, you can plot your two data sets on different axes. Plot a histogram with histplot () method using the data in the list (step 3). Sep 11, 2021 · I want to display these plots side by side with the same scale on the Y-axis. Remember: KDE stands for “kernel density estimate. Now that I’ve explained histograms generally, let’s talk about them in the context of Seaborn. plt. Adding a boxplot on top of a histogram can help you in better understanding the distribution of the data and visualizing outliers as well as quartiles positions. histplot(data=df, x="sepal_length", bins=20) ```. Perhaps the best way of looking at a bivariate relationship is through the use of the Jun 29, 2016 · Multiple Seaborn subplots (e. Histogram with several variables with Seaborn. gridspec as gridspec. multiple='dodge', shrink=. For this case, there would be 4 colors of histogram bars (corresponding to each position in a tuple) and the x-axis will the frequency of occurrence of each number in that particular index. Here the column in my dataset which I am interested in. hist('rate', bins=100, ax=axes[1]) Demo. This is not the same as the question presented in here: Grouped boxplot with seaborn where the two columns have lists inside them. dflux = pd. You can loop through the groups obtained in a loop. violinplot(x=df["age"]) In a bivariate plot, one of the variables will “group” so that multiple violins are drawn: Dec 29, 2020 · I'd like to create stacked histograms for all the values in a tuple. randrange(100) for i in range(100)] plt. 5, h_pad=1. May 23, 2024 · When working with multiple datasets or variables, it can be insightful to compare their distributions side by side. , the count of the number of records) for different ranges our x-axis variable. fig, ax = plt. For both types of plots, experiment with common_bins and common_norm . Here is an example code: python. DataFrame. boxplot) in one Matplotlib figure (i. When graphing with matplotlib I get this 4 histograms model: 4 Histograms. boxplot(x='fran_id',y='pts', data=both_teams_df) plt. Jun 20, 2020 · In many cases, Seaborn’s factorplot() can be a simpler way to create a FacetGrid. subplots() Provide it with a plotting function and the name (s) of variable (s) in the dataframe to plot. 8) . melt(id_vars='id') sns. Mar 23, 2018 · Solution #1: Side-by-Side Histograms. Method 4: Grouped Bar Plot. lmplot With your same imports, pre-defining your axes and using regplot looks like this: Jan 18, 2021 · Next, we’ll modify our Seaborn histogram and add a KDE density line to show the density of the data. I want to plot histograms for each feature in one go (6x6) using seaborn. hist. DataFrame(dict(rate=np. 0, this can be disabled by setting native_scale=True. concat((assigned_team_df, your_team_df)) plt. displot(insurance, x='bmi', kind='hist', aspect=1. Sep 28, 2022 · Use seaborn it's easier to manipulate side by side bar plots than matplotlib import seaborn as sns df_m = df. Mar 19, 2021 · This is not what the data should look like for a histogram. Show the counts of observations in each categorical bin using bars. melt:. While a higher number of bins can provide more detail, it can also lead to overfitting and misrepresenting the data. import seaborn as sns. Check out the documentation of the plt. Let’s look at the distribution of tips in each of these subsets, using a histogram: g = sns. pyplot as plt import se density: normalize such that the total area of the histogram equals 1. seaborn. hist function. If multiple data are given the bars are arranged side by side. Sep 5, 2017 · Passing distribution parameters to seaborn histogram plot. @mgilson - Edamame was already using plt. e. subplots; Also review seaborn histplot and displot output doesn't match; Tested in seaborn 0. despine(left=True) # Plot a simple distribution of Stacked histogram on a log scale Horizontal boxplot with observations Conditional means with observations Joint and marginal histograms Joint kernel density estimate Overlapping densities (‘ridge plot’) Plotting large distributions Bivariate plot with multiple elements Faceted logistic regression Provide it with a plotting function and the name (s) of variable (s) in the dataframe to plot. countplot(x='embark_town',data=titanic, palette='rainbow') plt. --. By grouping by age, you would have 11 bins inside this bin: one for people aged 0, one for people aged 1, one for people aged 2, etc. 4. Make two dataframes, df1 and df2, of two-dimensional, size-mutable, potentially heterogeneous tabular data. load_dataset("penguins") sns. Instead of creating a grid and mapping the plot, we can use the factorplot() to create a plot with one line of code. And I also wanted to have the histogram curve appearing like Orientation of the plot (vertical or horizontal). colormatplotlib color. figure(figsize=(8,5)) sns. histplot, "tip") This function will draw the figure and annotate the axes, hopefully producing a finished plot in one step. relplot() As with any dataset, we want to take a look at statistical relationships. The size and shape of the plot is specified at the level of each subplot using the height and aspect parameters: g = sns. jointplot(x1, x2, kind="reg", size=7, space=0) will produce this: But I would like to plot the density plot together with a regression line. subplots() fig. It offers a plethora of statistical graphs for almost every type of data. Let’s see what this looks like: # Creating a Simple Histogram import seaborn as sns. Use stat='percent'. Once you have your data in a DataFrame, plotting a basic, high quality histogram is a simple one-liner: 1. Hencce the import was not included. Test dataframe: This is a solution to the question put by @Edamame to display two histograms as two subplots side by side in one figure. histplot(data=penguins, x="flipper_length_mm", binwidth=3) You can also define the total number of bins to use: sns. As of seaborn 0. On the other hand, too few bins may oversimplify the distribution. histogram_bin_edges(). title("Count of Passengers that Embarked in Each City") Mar 4, 2024 · The method for displaying the plot remains consistent with Seaborn’s plt. When working with multiple datasets or variables, it can be insightful to compare their distributions side by side. Using Seaborn I am getting the exact graph I need but I cannot replicate it to get 4 at a time: I want to get 4 of the seaborn graphs (image 2) in the format of the image 1 (4 at a time with the calculations I made with seaborn). 1 & matplotlib 3. regplot's instead of sns. histplot(data=penguins, x="flipper_length_mm") Seaborn multiple plots. melt(df, id_vars="class", var_name="sex", value_name="survival rate") dfm Out: class sex survival rate 0 first men 0. Create two lists (x and y). Dataset for plotting. sns. Basically reproducing df. This example plots horizontal histograms of different samples along a categorical x-axis. pyplot but hardly came out with a good example. show() print("") # Histograms fig, ax = plt. Syntax: Output: In the above example, we have plotted the histogram with the density plot for the penguin’s dataset using seaborn. jointplot(data=penguins, x="bill_length_mm", y="bill_depth_mm") Assigning a hue variable will add conditional colors to the scatterplot and draw separate density Jul 3, 2022 · In the seaborn we need the input data as pandas DataFrame. ```python. It’s also possible to visualize the distribution of a categorical variable using the logic of a histogram. May 16, 2023 · Solution 1: To plot two graphs side by side using Seaborn in Python, we can use the subplots () function from the matplotlib library. load_dataset("tips") # Create two subplots. histplot as per a stackoverflow answer). Let’s use our extended dataset to create a side-by-side bar plot: plt. Set the figure size and adjust the padding between and around the subplots. Customize your plots with colors, labels, and styles. lmplot in the accepted answer, here is a fully fleshed-out example closely mirroring the reference figure provided in your question. Replacing grass against side of house Create a highly customizable, fine-tuned plot from any data structure. randn(10000))) Learn how to create grouped boxplots with seaborn, a powerful and easy-to-use Python library for data visualization. fig = fig. Sep 27, 2020 · Index(['Perpetrator Sex', 'Gender'], dtype='object') I am looking to have actually two graphs side by side - one for men and one for women. Apr 12, 2021 · I need to plot two graphs side by side. For example, Colors. g. fig, axes = plt. binwidth number or pair of numbers Oct 30, 2019 · If you want to have separate x axis for all 4 subplots then make it sharex=False (default) Here I used randomly generated data to generate the plot, you can use your own data. The `bins` parameter is set to 20, dividing the data into 20 bins. Nov 6, 2018 · I have a data frame with 36 columns. pyplot. Note: This is a proof of concept, it may work for most easy cases, but I would not recommend using it in production code. hist function call as a list of lists. To plot multiple visualization in Seaborn side by side we can do: Mar 4, 2024 · The output is a file named “seaborn_histogram. And you can create a histogram for each one. You can use the following methods to plot histograms by group in a pandas DataFrame: Method 1: Plot Histograms by Group Using Multiple Plots. Using relplot() is safer than using FacetGrid directly, as it ensures synchronization of the semantic mappings across facets. histplot(data=penguins, x="flipper_length_mm", bins=30) Add a kernel density estimate to smooth the histogram, providing complementary ''' I would like to generate a single plot showing both a histogram and a lineplot. hist(combined['apple{} tomato'. To do so, you can get your histogram data using matplotlib, clear the axis, and then re-plot it on two separate axes (shifting the bin edges so that they don't overlap): #sets up the axis and gets histogram data. Sep 15, 2020 · Because the histogram of two different columns is desired, it's easier to use histplot. update: factorplot was changed to catplot in newer versions of seaborn. If x and y are absent, this is interpreted as wide-form. import seaborn as sns; sns. We have to specify different colors to use for each airline and a label so we can tell Sep 6, 2023 · Plotting the Histogram. We have to specify different colors to use for each airline and a label so we can tell Tested in python 3. 5, aspect=. Use melt on your dateframe then plot it with seaborn. Selecting the optimal number of bins is key to creating an informative histogram. A count plot can be thought of as a histogram across a categorical, instead of quantitative, variable. Apr 1, 2016 · I saw this post on how to overlay graphs, but I would like these histograms to be side by side, not overlay. histplot either with both x= and y= filled in (2D histogram), only x= given (horizontal histogram) or only y= given (vertical histogram). Creating a side-by-side bar plot is useful for visualizing positive and negative values in a way that highlights contrasts and comparisons between categories. from sklearn. : Nimport seaborn as sns # Side-by-side boxplots both_teams_df = pd. Jan 25, 2023 · In order to create a histogram in Seaborn using a Pandas DataFrame, you only need to use two parameters: data= refers to the DataFrame you want to plot, and. factorplot(data=df, x='SAT_AVG_ALL', # shows a pointplot. tips = sns. pyplot as plt tips = sns Nov 25, 2022 · Seaborn histogram. Changed in version v0. Matplotlib, and especially its object-oriented framework, is great for fine-tuning the details of a histogram. bins str, number, vector, or a pair of such values. subplots() plt. hist funciton. df['values_var']. The issue is that the lineplot is not going all the way to the end of the x-axis. Create a figure and add a set of two subplots. magic(u'matplotlib inline') import matplotlib. 0: Added ‘x’/’y’ as options, equivalent to ‘v’/’h’. I tried the following code: l=['batting_team','bowling_team'] for i in l: sns. Ultimately, a histogram contains a group of bars that show the density of the data (i. Note that we chose to use the histplot function below, though you could definitely use the displot() function also. The axes-level functions are histplot(), kdeplot(), ecdfplot(), and rugplot(). I have tried this code: for r in range(1, n): plt. May 8, 2021 · To plot multiple histograms on same plot with Seaborn, we can take the following steps −. For example, common_norm=True will show the percent as a part of the entire population, whereas Mar 23, 2018 · Solution #1: Side-by-Side Histograms. describe() (And not in the order that I'd expect. 0. histplot(data = score_data. randrange(100) for i in range(100)] y = [random. In the first step, we have imported the seaborn library and named it sns. countplot(high_scores[i]) mlt. title('Boxplot to compare points distribution', fontsize=18) sns. #. map(sns. , sns. tight_layout(pad=0. MWE Oct 25, 2013 · 14. The y-axis represents the observation values. catplot(x = 'investors', y='value', hue = 'investments',data=dfs1, kind='bar') # import libraries. The histogram and the lineplot have the same x-axis but different y-axis. 8. columns) Because the first argument to matplotlib. class SeabornFig2Grid(): def __init__(self, seaborngrid, fig, subplot_spec): self. Let’s take a look. histplot () function. See How to plot in multiple subplots for a number of different ways to plot into maplotlib. hist(by=df['group_var']) Method 2: Plot Histograms by Group Using One Plot. Dec 1, 2021 · 1. pyplot as plt import seaborn as sns sns. import pandas as pd import seaborn as sns import matplotlib. 2. Instead of overlapping the airline histograms, we can place them side-by-side. # libraries & dataset import seaborn as sns. They are grouped together within the figure-level displot(), jointplot(), and pairplot() functions. Sep 18, 2018 · I would like to plot two columns of a pandas dataframe as side by side box plots by category. Feb 6, 2024 · Side-by-Side Bar Plot. # Create a facetted pointplot of Average SAT_AVG_ALL scores facetted by Degree Type. Red (0) Blue (1) Green (2) Purple (3) For the given colors: Sep 6, 2022 · by Zach Bobbitt September 6, 2022. We rename seaborn as ‘sns’ to make it easier when we call it for visualizations later on. set() %matplotlib inline. , ax1 and ax2) to seaborn. Oct 21, 2021 · 2. Jul 13, 2017 · Use subplots to define a figure with two axes. We have to specify different colors to use for each airline and a label so we can tell Feb 6, 2024 · Side-by-Side Bar Plot. Oct 26, 2021 · To have these plots side-by-side as subplots, you can call the underlying sns. The solution there did not work for me. Orientation of the plot (vertical or horizontal). The aspect variable adjusts the height-width ratio of the figure. 'step' generates a lineplot that is by default unfilled. side by side; since the range of value is small, I would use identity for bins, i. 8) plt. The basic API and options are identical to those for barplot(), so you can compare counts across nested variables. The first option is nicer if you do not have too many variable, and if Oct 28, 2015 · Hi I wanted to draw a histogram with a boxplot appearing the top of the histogram showing the Q1,Q2 and Q3 as well as the outliers. Seaborn histogram is called - histplot: penguins = sns. FacetGrid(tips, col="time") g. Something like this: Aug 19, 2020 · The x-axis is used to represent the data sample, where multiple boxplots can be drawn side by side on the x-axis if desired. 4. Generic bin parameter that can be the name of a reference rule, the number of bins, or the breaks of the bins. And looking at the docs it doesn’t specify how to include a list of lists as the first argument ‘a’. As you can see, the first plot counts all the observations of people with ages between 0 and 10. 1, matplotlib 3. They take all the same arguments as bar plots in Seaborn, which helps keep things simple. 0, pandas 2. There are several different approaches to visualizing a distribution, and each has its relative advantages and drawbacks. hist([x, y]) plt. If you have several numerical variables and want to visualize their distributions together, you have 2 options: plot them on the same axis or make use of matplotlib. Mar 9, 2024 · FacetGrid in the Seaborn library provides a multi-plot grid interface to explore relationships between multiple variables. subplots(1, 2) dflux. displot(tips, x="day", shrink=. Jun 20, 2016 · I checked on stackoverflow and found this but it overlays them How To Plot Multiple Histograms On Same Plot With Seaborn. barplot(x='Month', y='Value', hue='Component', data=df_extended Mar 23, 2018 · Solution #1: Side-by-Side Histograms. fig, ax1 = plt. The `sns. jointplot(x1, x2, kind="kde", size=7, space=0) with g = sns. import numpy as np import seaborn as sns import matplotlib. Aug 28, 2014 · A quick solution is to use melt() from pandas and then plot with seaborn. The type of histogram to draw. 914680 1 second Mar 9, 2024 · FacetGrid in the Seaborn library provides a multi-plot grid interface to explore relationships between multiple variables. Scatter Plots — sns. Feb 10, 2021 · Count Plots are essentially histograms across a categorical variable. You must be wondering why to learn Seaborn while Matplotlib already works just fine. import seaborn as sns import pandas as pd import matplotlib. Jul 7, 2015 · plot a histogram of value; group by type, i. ”. show() This yields the following plot. from pandas import DataFrame. randn(10000))) dflux2 = pd. One solution is to use matplotlib histogram directly on each grouped data frame. hits, bins=20) dfx. Method 3: Using Pandas plot with Jan 21, 2021 · For many data visualizations in Python, Seaborn provides the best combination of a high-level API and nice looking plots. pyplot. subplots(2, 2, figsize=(7, 7), sharex=True) sns. ) Here's the result: But I want these figures side by side. Feb 23, 2018 · From the seaborn docs, the following snippet will produce the plot below: Replacing g = sns. This is usually inferred based on the type of the input variables, but it can be used to resolve ambiguity when both x and y are numeric or when plotting wide-form data. Reshape the DataFrame with pandas. " Seaborn comes with a number of customized themes and a high-level interface for controlling the look of matplotlib figures. Additionally, the histograms are plotted to be symmetrical about their x-position, thus making them very similar to violin plots. 0, seaborn 0. Seaborn can accomplish this, but it requires slightly more setup, including melting the DataFrame and using the hue parameter. # Load dataset. hist(assigned_team_df['pts'], 20, alpha=0. Limit the X-axis range from 0 to 10. subplots) Building off of the suggestion of using two sns. Choosing the right number of bins. So the histogram shows us how a variable is distributed. random. png” that contains the histogram plot. Another way to compare multiple distributions is to plot the histograms side by side. 'bar' is a traditional bar-type histogram. group = np. datasets import load_iris. Here an example of how my data and the plot look: import pandas as pd. thanks! – Oren Avidan Commented Sep 27, 2020 at 19:53 Check how well the histogram represents the data by specifying a different bin width: sns. 11. hist can take. barplot(x='Month', y='Value', hue='Component', data=df_extended seaborn. use different colors to differentiate types; the position of the "bars" should be "dodge", i. Feb 14, 2023 · We can use the seaborn histplot () function with the hue parameter to create histograms of the points variable, grouped by the team variable: #create histogram to visualize distribution of points by team. x= refers to the column label that you want to create a histogram of. This can be achieved using the hue parameter in Seaborn, which separates the data based on a categorical variable. Compare the distributions of different groups of data using boxplots, which show the median, quartiles, and outliers of each group. Jun 21, 2020 · As we can see in the matplotlib documentation (references at the end of file), subplots() without arguments returns a Figure and a single Axes, which we can unpack using the syntax bellow. Seaborn, a python data visualization package offers powerful tools for making visually appealing maps and efficient way to plot multiple histograms Mar 4, 2023 · I have created multiple histograms with a seaborn library from different data sets. 65) g. Oct 25, 2017 · I am trying to plot n number of histograms and show them all together side by side (not in the same histograms. KDE lines are smooth lines that show how the data are distributed, and can be a good compliment to histograms. Aug 25, 2017 · plt. This allows grouping within additional categorical variables, and plotting them across multiple subplots. Closed last year. This code snippet first imports seaborn, alongside matplotlib, to create a more sophisticated histogram. With matplotlib, I can make a histogram with two datasets on one plot (one next to the other, not overlay). 5, label 1. n) on the relevant axis. hits. 2) Histogram of bmi (image by author) We can use the displot function of seaborn and specify the type of distribution using the kind parameter. regplot or you can skip defining those and use the col kwarg of seaborn. I am trying to plot two countplots showing the counts of batting and bowling. Apr 10, 2023 · Histograms are a powerful tool for visualizing the distribution of data in a dataset. hist('rate', bins=100, ax=axes[0]) dflux2. Seaborn is a powerful Python Data Visualization library that is built on top of Matplotlib. f, axes = plt. 12. histplot, "total_bill") If the variable assigned to col has many levels, it is possible to “wrap” it so that it spans multiple rows: It’s also possible to visualize the distribution of a categorical variable using the logic of a histogram. 0) You could make this more generic by: adding a df and by parameter to sephist: def sephist(df, by, col) making the subplots loop more flexible: for num, alpha in enumerate(df. show(). Producing multiple histograms side by side. By default, this function treats one of the variables as categorical and draws data at ordinal positions (0, 1, …. hist() but with seaborn. barplot(x='id', y='value', hue='variable', data=df_m) Also for sake of completion giving an example of matplotlib side by side histograms. FacetGrid(tips, col="day", height=3. repeat(['G1', 'G2'], 4) Use relplot() to combine scatterplot() and FacetGrid. histplot(data=df, x='points', hue='team') The resulting plot contains overlapping histograms whose colors are based on the values in the Aug 7, 2023 · Aug 7, 2023. 1. 75, bins=20); Setting multiple='dodge' makes it so the bars are side-by-side, and shrink=. The default violinplot represents a distribution two ways: a patch showing a symmetric kernel density estimate (KDE), and the quartiles / whiskers of a box plot: df = sns. import matplotlib. pyplot as plt # convert the dataframe to a long format dfm = pd. 0, they have a great function for plotting histograms called histplot(). For comparability, I want both to have the same class intervals and the bin widths must be calculated as per the Freedman-Diaconis rule, (probably the default mode used by sns. Histograms in Seaborn. import numpy as np. Then specify the axis to plot to within hist using the ax parameter. My seaborn code is the following: Sep 23, 2022 · How can I get a side-by-side histogram that includes faceting? Without faceting, the histogram looks ok, but it's very difficult to compare the counts for groups Two and Three: In the simplest invocation, assign x and y to create a scatterplot (using scatterplot()) with marginal histograms (using histplot() ): penguins = sns. For instance, given a dataset on weather conditions, one might want to visualize the relationship between temperature and humidity across different cities. Discrete bins are automatically set for categorical variables, but it may also be helpful to “shrink” the bars slightly to emphasize the categorical nature of the axis: sns. load_dataset("titanic") sns. distplot is replaced with the Figure level seaborn. Axes objects to customize your figure. Iterate a list consisting of x and y. So, it was inherent that s/he had already imported matplotlib. Example phone is below. It says, you "Input values, this takes either a single array or a sequence of arrays which are not required to be of the same length. Mar 22, 2020 · Seaborn. , fig, axs = plt. melt or pandas. How can i make them order side by side? Aug 10, 2021 · To plot two histograms side by side using matplotlib, we can take the following steps −. Aug 7, 2023 · Side-by-Side Histograms. Feb 27, 2019 · The following code generates a description of my dataset, plus a histogram, one on top of the other get_ipython(). regplot, sns. figure(figsize=(10, 6)) sns. Each group is a dataframe. Create a figure and a set of subplots. x = [random. histplot` function is called to plot the histogram of the “sepal_length” column from the Iris dataset. 13. Let’s define a simple function to plot some offset sine waves, which will help us see the different stylistic parameters we can tweak. 'barstacked' is a bar-type histogram where multiple data are stacked on top of each other. Here, use the reset_index( ) method instead of untack Orientation of the plot (vertical or horizontal). A box is drawn to summarize the middle 50 percent of the dataset starting at the observation at the 25th percentile and ending at the 75th percentile. countplot. 1. I use Python's seaborn library and the histplot function to create a stacked barplot. distplot(dfx. x = ['A']*300 + ['B']*400 + ['C']*300. Example: Oct 10, 2015 · Pass your axes objects (i. Dec 25, 2020 · The following is a basic histogram of the bmi variable. Another key difference are the bins in a histogram. 75 makes it so the pair of bars take up 3/4 of the whole bin. After using Seaborn’s histplot() to plot the histogram, we simply call savefig() to save the plot to an image file. Seaborn, a python data visualization package offers powerful tools for making visually appealing maps and efficient way to plot multiple histograms on the same plot. 2 Stacked histogram on a log scale Horizontal boxplot with observations Conditional means with observations Joint and marginal histograms Joint kernel density estimate Overlapping densities (‘ridge plot’) Plotting large distributions Bivariate plot with multiple elements Faceted logistic regression I am trying to plot 2 histograms side by side, the first one for the full dataset, and second one for a subset of the dataset. show() But by using this , I am getting two plots one below the other. As of version 0. import random. (I am using Python and Pandas) I have checked several examples using matplotlib. hv cr uw jx sn qw ph wa sl lo