在图的每个顶点上放置点(绘图)
Putting points on each vertex of a graph (plot)
我想在该图的每个顶点上放置点,但我不知道该怎么做,您有什么想法吗?
代码:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
members = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/members.csv")
expeditions = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/expeditions.csv")
success = members[members["success"]==True]
success = success.reset_index()
plt.figure(figsize=(17,8))
success_saisons = success.drop(success[(success["season"]=="Unknown")].index)
success_saisons.groupby("season")['success'].count().plot(linewidth=6)
plt.title("Répartition des succès en fonction des saisons",fontsize=15)
plt.ylabel("nombre de membres ayant réussi", fontsize = 12)
为了绘制顶点,您可以使用 matplotlib marker 和 markersize 参数指定标记大小和形状。
代码:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
members = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/members.csv")
expeditions = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/expeditions.csv")
success = members[members["success"]==True]
success = success.reset_index()
plt.figure(figsize=(17,8))
success_saisons = success.drop(success[(success["season"]=="Unknown")].index)
success_saisons.groupby("season")['success'].count().plot(linewidth=6, marker="o", markersize=12)
plt.title("Répartition des succès en fonction des saisons",fontsize=15)
plt.ylabel("nombre de membres ayant réussi", fontsize = 12)
plt.show()
输出:
我想在该图的每个顶点上放置点,但我不知道该怎么做,您有什么想法吗?
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
members = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/members.csv")
expeditions = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/expeditions.csv")
success = members[members["success"]==True]
success = success.reset_index()
plt.figure(figsize=(17,8))
success_saisons = success.drop(success[(success["season"]=="Unknown")].index)
success_saisons.groupby("season")['success'].count().plot(linewidth=6)
plt.title("Répartition des succès en fonction des saisons",fontsize=15)
plt.ylabel("nombre de membres ayant réussi", fontsize = 12)
为了绘制顶点,您可以使用 matplotlib marker 和 markersize 参数指定标记大小和形状。
代码:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
members = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/members.csv")
expeditions = pd.read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/expeditions.csv")
success = members[members["success"]==True]
success = success.reset_index()
plt.figure(figsize=(17,8))
success_saisons = success.drop(success[(success["season"]=="Unknown")].index)
success_saisons.groupby("season")['success'].count().plot(linewidth=6, marker="o", markersize=12)
plt.title("Répartition des succès en fonction des saisons",fontsize=15)
plt.ylabel("nombre de membres ayant réussi", fontsize = 12)
plt.show()
输出: