16 棒棒糖图 (Lollipop Chart) 棒棒糖图表以一种视觉上令人愉悦的方式提供与有序条形图类似的目的。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 复制 # Prepare Data df_raw = pd.read_csv("https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv") df = df_raw[['cty', 'manufactur...
from matplotlib import patches from scipy.spatial import ConvexHull import warnings; warnings.simplefilter('ignore') sns.set_style("white") # Step 1: Prepare Data midwest = pd.read_csv("https://raw.githubusercontent.com/selva86...
read_csv("https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv") # Prepare Datadf = df_raw.groupby('class').size() # Make the plot with pandasdf.plot(kind='pie', subplots=True, figsize=(8, 8))plt.title("Pie Chart of Vehicle Class - Bad")plt.ylabel("")plt.show()...
[1]) # 绘制条形图 plt.bar(x, data[0], width=0.4, align='center', label='Group 1') plt.bar(x + 0.4, data[1], width=0.4, align='center', label='Group 2') # 设置x轴标签和标题 plt.xlabel('X') plt.ylabel('Y') plt.title('Grouped Bar Chart') # 设置图例 plt.legend() #...
plt.title("Scatterplot with line of best fit grouped by number of cylinders", fontsize=20) plt.show() 针对每列绘制线性回归线: 或者,可以在其每列中显示每个组的最佳拟合线。 可以通过在 sns.lmplot() 中设置 col=groupingcolumn 参数来实现,如下: # Import Data df = pd.read_csv("https://raw...
16. 棒棒糖图 (Lollipop Chart) 棒棒糖图表以一种视觉上令人愉悦的方式提供与有序条形图类似的目的。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 复制 # Prepare Data df_raw = pd.read_csv("https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv") df = df_raw[['cty', 'manufact...
import numpy as np import pandas as pd import matplotlib as mpl import matplotlib.pyplot as plt import seaborn as sns import warnings; # Import Data df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv") # Create Fig and gridspec fig = plt.figure...
df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv") df_counts = df.groupby(['hwy', 'cty']).size().reset_index(name='counts') # Draw Stripplot fig, ax = plt.subplots(figsize=(16, 10), dpi=80) sns.stripplot(df_counts.cty, df_counts....
16、棒棒糖图 (Lollipop Chart) 棒棒糖图表以一种视觉上令人愉悦的方式提供与有序条形图类似的目的。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 复制 # Prepare Datadf_raw = pd.read_csv("https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv")df = df_raw[['cty', 'manufacturer...
代码语言:javascript 代码运行次数:0 运行 AI代码解释 col="type"grouped=df[col].value_counts().reset_index()grouped=grouped.rename(columns={col:"count","index":col})withplt.xkcd():explode=(0,0.1)# only"explode"the 2ndslice(i.e.