[英]How to add values/ labels over each marker in lineplot in Python Seaborn?
我有一個 dataframe 由時間范圍、庫存和作為列的文本計數組成。 dataframe 看起來像這樣
Time Stock Text
0 00:00 - 01:00 BBNI 371
1 00:00 - 01:00 BBRI 675
2 00:00 - 01:00 BBTN 136
3 00:00 - 01:00 BMRI 860
4 01:00 - 02:00 BBNI 936
5 01:00 - 02:00 BBRI 1325
6 01:00 - 02:00 BBTN 316
7 01:00 - 02:00 BMRI 1630
我想用下面的代碼畫一個線圖:
df=tweetdatacom.groupby(["Time","Stock"])[["Text"]].count().reset_index()
plt.figure(figsize=(10,5))
line=sn.lineplot(x="Time", y="Text",hue="Stock",palette=["green","orange","red","blue"],marker="o",data=df)
plt.xticks(size=5,rotation=45, horizontalalignment='right',fontweight='light',fontsize='large')
plt.xlabel('Time Interval',size=12)
plt.ylabel('Total Tweets',size=12)
現在,我想將每個標記的值放在 plot 上,我該怎么做?
非常感謝
使用ax.text
循環遍歷數據的數量。 我只使用提供給我的數據來創建它,所以我省略了你的一些處理。
import pandas as pd
import numpy as np
import io
data = '''
Time Stock Text
0 "00:00 - 01:00" BBNI 371
1 "00:00 - 01:00" BBRI 675
2 "00:00 - 01:00" BBTN 136
3 "00:00 - 01:00" BMRI 860
4 "01:00 - 02:00" BBNI 936
5 "01:00 - 02:00" BBRI 1325
6 "01:00 - 02:00" BBTN 316
7 "01:00 - 02:00" BMRI 1630
'''
df = pd.read_csv(io.StringIO(data), sep='\s+')
import seaborn as sn
import matplotlib.pyplot as plt
# df=tweetdatacom.groupby(["Time","Stock"])[["Text"]].count().reset_index()
plt.figure(figsize=(10,5))
palette = ["green","orange","red","blue"]
line=sn.lineplot(x="Time", y="Text",hue="Stock",palette=palette, marker="o", data=df)
plt.xticks(size=5,rotation=45, horizontalalignment='right',fontweight='light',fontsize='large')
plt.xlabel('Time Interval',size=12)
plt.ylabel('Total Tweets',size=12)
for item, color in zip(df.groupby('Stock'),palette):
for x,y,m in item[1][['Time','Text','Text']].values:
# print(x,y,m)
plt.text(x,y,m,color=color)
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