python 在 x 轴上绘制带有日期时间对象的散点图

python plot a scatter plot with datetime object on the x axis

我有一个日期为字符串格式的数据框。我使用 strptime

将它们转换为 datetime 对象

y 是一个浮点数

然后我使用plt.plot_date尝试制作数据的散点图

但我不断收到 float() argument must be a string or a number, not 'datetime.date'

我的完整代码如下:

from datetime import datetime
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

def plot():
    data = []
    df = pd.read_csv('random_case_number.csv') 
    for index, row in df.iterrows():
        if (row['recipt_number'][: 3] != 'IOE'):
            data.append([int(row['recipt_number'][5:]) - 90000000, datetime.strptime(row['date'], '%Y-%m-%d').date()])
    dates = mdates.date2num(data[1])
    plt.plot_date(dates, data[0])

示例数据:

recipt_number,date
IOE0914808418,1998-01-01
MSC2290138517,2021-11-18
LIN2190425860,2021-07-09
LIN2290143717,2022-02-22
WAC2190082175,2021-05-03
IOE9086351290,2022-01-06
IOE0912562803,2021-07-09
IOE9086351290,2022-01-06
SRC2290076110,2022-01-24
IOE0913043187,1322-07-27

非常感谢任何帮助

不要遍历您的 DataFrame。尝试:

df = pd.read_csv('random_case_number.csv')
df["date"] = pd.to_datetime(df["date"])
df["recipt"] = df["recipt_number"].str[5:].astype(int).sub(90000000).where(~df["recipt_number"].str.startswith("IOE"))
ax = df.plot.scatter(x="date",y="recipt",rot=90)