seaborn

问题 How can I easily compare the distributions of multiple cohorts? Usually, https://seaborn.pydata.org/generated/seaborn.distplot.html would be a great tool to visually compare distributions. However, due to the size of my dataset, I needed to compress it and only keep the counts. It was created as: SELECT age, gender, compress_distributionUDF(collect_list(struct(target_y_n, count, distribution_value))) GROUP BY age, gender where compress_distributionUDF simply takes a list of tuples and returns

问题 I'm using Seaborn to generate many types of graphs, but will use just a simple example here for illustration purposes based on an included dataset: import seaborn tips = seaborn.load_dataset("tips") axes = seaborn.scatterplot(x="day", y="tip", size="sex", hue="time", data=tips) In this result, the single legend box contains two titles "time" and "sex", each with sub-elements. How could I easily separate the legend into two boxes, each with a single title? I.e. one for legend box indicating

问题 I'm using Seaborn to generate many types of graphs, but will use just a simple example here for illustration purposes based on an included dataset: import seaborn tips = seaborn.load_dataset("tips") axes = seaborn.scatterplot(x="day", y="tip", size="sex", hue="time", data=tips) In this result, the single legend box contains two titles "time" and "sex", each with sub-elements. How could I easily separate the legend into two boxes, each with a single title? I.e. one for legend box indicating

问题 I am new to seaborn , and I'm currently playing around with the pairplot functionalities... With the following seaborn.pairplot(data, hue="Class", diag_king="hist", diag_kws={'alpha'=0.5} ) I'm able to achieve most of what I want: a grid of scatter plots from my pandas dataframe data , with separated distributions according to the Class column, and semi-transparent histograms along the diagonal. I've figured out that by passing bin=[...] to diag_kws I can have all diagonal plots adopt that

问题 I try to work out some way to plot data as a histogram. Now I realized that the numbers on the y-axis don't represent the actual counts of data points in my file. Is there a way I can change that? My code looks like this sns.set_style("white") plt.figure(figsize=(12,10)) plt.xlabel('a', fontsize=18) plt.ylabel('Frequency', fontsize=18) plt.title ('Title of Graph', fontsize=22) sns.distplot(st,bins='fd', kde=False, fit_kws={"color":"red"}, fit=sp.stats.norm, hist_kws={"rwidth":0.75, 'range':(0

问题 How to group by a given frequency let say Hourly for different dates, and create a set of box plot for one column in a time series data set ? A similar problem and solution is below. But the below would group hourly data with regards less of date. But the ask over here is, let say we have 10 day data , one Box plot for each day's each hour. Hence we need 10 * 24 Box Plots in single frame. Oder needs to be maintined as Day_1 Hour 1, Day_1 Hour 2 , .. Day 10 Hour 24 Box plot of hourly data in

问题 I want to visualize the following dict of dicts players_info = {'Afghanistan': {'Asghar Stanikzai': 809.0, 'Mohammad Nabi': 851.0, 'Mohammad Shahzad': 1713.0, 'Najibullah Zadran': 643.0, 'Samiullah Shenwari': 774.0}, 'Australia': {'AJ Finch': 1082.0, 'CL White': 988.0, 'DA Warner': 1691.0, 'GJ Maxwell': 822.0, 'SR Watson': 1465.0}, 'England': {'AD Hales': 1340.0, 'EJG Morgan': 1577.0, 'JC Buttler': 985.0, 'KP Pietersen': 1176.0, 'LJ Wright': 759.0}} Currently I am using the following way but

问题 I want to plot both a boxplot and the mean in one figure. So far my plot looks like this using these lines of code: sns.swarmplot(x="stimulus", y="data", data=spi_num.astype(np.float), edgecolor="black", linewidth=.9) sns.boxplot(x="stimulus", y="data", data=spi_num.astype(np.float), saturation=1) sns.pointplot(x="stimulus", y="data", data=spi_num.astype(np.float), linestyles='', scale=1, color='k', errwidth=1.5, capsize=0.2, markers='x') sns.pointplot(x="stimulus", y="data", data=spi_num

问题 I want to plot both a boxplot and the mean in one figure. So far my plot looks like this using these lines of code: sns.swarmplot(x="stimulus", y="data", data=spi_num.astype(np.float), edgecolor="black", linewidth=.9) sns.boxplot(x="stimulus", y="data", data=spi_num.astype(np.float), saturation=1) sns.pointplot(x="stimulus", y="data", data=spi_num.astype(np.float), linestyles='', scale=1, color='k', errwidth=1.5, capsize=0.2, markers='x') sns.pointplot(x="stimulus", y="data", data=spi_num

问题 I want to plot both a boxplot and the mean in one figure. So far my plot looks like this using these lines of code: sns.swarmplot(x="stimulus", y="data", data=spi_num.astype(np.float), edgecolor="black", linewidth=.9) sns.boxplot(x="stimulus", y="data", data=spi_num.astype(np.float), saturation=1) sns.pointplot(x="stimulus", y="data", data=spi_num.astype(np.float), linestyles='', scale=1, color='k', errwidth=1.5, capsize=0.2, markers='x') sns.pointplot(x="stimulus", y="data", data=spi_num