大蟒蛇python教程共享python可视化分析绘制带趋势线的散点图和边缘直方图

import pandas as pd  import matplotlib as mpl  import matplotlib.pyplot as plt  import seaborn as sns  import warnings  warnings.filterwarnings(action='once')  plt.style.use('seaborn-whitegrid')  sns.set_style("whitegrid")  print(mpl.__version__)  print(sns.__version__)  def draw_scatter(file):      # import data      df = pd.read_csv(file)      df_select = df.loc[df.cyl.isin([4, 8]), :]        # plot      gridobj = sns.lmplot(          x="displ",          y="hwy",          hue="cyl",          data=df_select,          height=7,          aspect=1.6,          palette='set1',          scatter_kws=dict(s=60, linewidths=.7, edgecolors='black'))      # decorations      sns.set(style="whitegrid", font_scale=1.5)      gridobj.set(xlim=(0.5, 7.5), ylim=(10, 50))      gridobj.fig.set_size_inches(10, 6)      plt.tight_layout()      plt.title("scatterplot with line of best fit grouped by number of cylinders")      plt.show()  draw_scatter("f:数据杂坛datasetsmpg_ggplot2.csv")

import pandas as pd  import matplotlib as mpl  import matplotlib.pyplot as plt  import seaborn as sns  import warnings  warnings.filterwarnings(action='once')  plt.style.use('seaborn-whitegrid')  sns.set_style("whitegrid")  print(mpl.__version__)  print(sns.__version__)  def draw_marginal_histogram(file):      # import data      df = pd.read_csv(file)        # create fig and gridspec      fig = plt.figure(figsize=(10, 6), dpi=100)      grid = plt.gridspec(4, 4, hspace=0.5, wspace=0.2)      # define the axes      ax_main = fig.add_subplot(grid[:-1, :-1])      ax_right = fig.add_subplot(grid[:-1, -1], xticklabels=[], yticklabels=[])      ax_bottom = fig.add_subplot(grid[-1, 0:-1], xticklabels=[], yticklabels=[])      # scatterplot on main ax      ax_main.scatter('displ',                      'hwy',                      s=df.cty * 4,                      c=df.manufacturer.astype('category').cat.codes,                      alpha=.9,                      data=df,                      cmap="set1",                      edgecolors='gray',                      linewidths=.5)      # histogram on the right      ax_bottom.hist(df.displ,                     40,                     histtype='stepfilled',                     orientation='vertical',                     color='#098154')      ax_bottom.invert_yaxis()      # histogram in the bottom      ax_right.hist(df.hwy,                    40,                    histtype='stepfilled',                    orientation='horizontal',                    color='#098154')      # decorations      ax_main.set(title='scatterplot with histograms n displ vs hwy',                  xlabel='displ',                  ylabel='hwy')      ax_main.title.set_fontsize(10)      for item in ([ax_main.xaxis.label, ax_main.yaxis.label] +                   ax_main.get_xticklabels() + ax_main.get_yticklabels()):          item.set_fontsize(10)        xlabels = ax_main.get_xticks().tolist()      ax_main.set_xticklabels(xlabels)      plt.show()  draw_marginal_histogram("f:数据杂坛datasetsmpg_ggplot2.csv")