基本上，我有一个来自csv文件的数据帧，该文件对使用熊猫做了一些更改。现在，我必须绘制特定列以比较数据框内的数据。
包含每日信息的最后一行的日字段为31，这使您可以通过编程方式找到该行的日期。我正在尝试先绘制男性出生，然后再绘制女性出生。使用日期列作为x轴值。由于某种原因，数据没有显示在图表上。我已经尝试了所有可以想到的方法，但是由于某种原因数据没有显示出来？我在做什么错了？
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
matplotlib.rcParams['figure.figsize'] = (8.0, 3.0)
births = pd.read_csv("births.csv")
births = births.drop(births[births.day == 99].index)
births = births.drop(births[births.births < 500].index)
births['day'].fillna(1, inplace=True)
births['day'] = births['day'].astype('int32')
births.dtypes
births['Date'] = pd.to_datetime(births[['year','month','day']])
print(births)
newbirth = births[births['day'] == 31]
start = pd.to_datetime(births['Date'].iloc[0])
end = pd.to_datetime(newbirth['Date'].iloc[-1])
births1 = births[births['gender'] == 'M']
births2 = births[births['gender'] == 'F']
births1.reset_index(inplace = True)
births2.reset_index(inplace = True)
#start1 = births1[births1['Date'] <= last]
#start2 = births2[births2['Date'] <= last]
new_plot = plt.subplot()
new_plot.plot(births1['births'], label ='Males')
new_plot.plot(births2['births'], label ='Females')
new_plot.set_xlim(start, end)
new_plot.set_ylim(0,6500)
new_plot.set_ylabel('Daily Births')
new_plot.set_title("Daily Births By Gender")
new_plot.legend(loc='lower right')
new_plot.tick_params(axis='x',rotation=45)
请发布数据框输出的一些内容，以便您可以 看起来像什么：
year month day gender births Date
0 1969 1 1 F 4046 1969-01-01
1 1969 1 1 M 4440 1969-01-01
2 1969 1 2 F 4454 1969-01-02
3 1969 1 2 M 4548 1969-01-02
4 1969 1 3 F 4548 1969-01-03
5 1969 1 3 M 4994 1969-01-03
6 1969 1 4 F 4440 1969-01-04
7 1969 1 4 M 4520 1969-01-04
8 1969 1 5 F 4192 1969-01-05
9 1969 1 5 M 4198 1969-01-05
10 1969 1 6 F 4710 1969-01-06
11 1969 1 6 M 4850 1969-01-06
12 1969 1 7 F 4646 1969-01-07
13 1969 1 7 M 5092 1969-01-07
14 1969 1 8 F 4800 1969-01-08
15 1969 1 8 M 4934 1969-01-08
16 1969 1 9 F 4592 1969-01-09
17 1969 1 9 M 4842 1969-01-09
18 1969 1 10 F 4852 1969-01-10
19 1969 1 10 M 5190 1969-01-10
20 1969 1 11 F 4580 1969-01-11
21 1969 1 11 M 4598 1969-01-11
22 1969 1 12 F 4126 1969-01-12
23 1969 1 12 M 4324 1969-01-12
24 1969 1 13 F 4758 1969-01-13
25 1969 1 13 M 5076 1969-01-13
26 1969 1 14 F 5070 1969-01-14
27 1969 1 14 M 5296 1969-01-14
28 1969 1 15 F 4798 1969-01-15
29 1969 1 15 M 5096 1969-01-15
... ... ... ... ... ... ...
15517 2007 10 1 F 180912 2007-10-01
15518 2007 10 1 M 189157 2007-10-01
15519 2007 11 1 F 173513 2007-11-01
15520 2007 11 1 M 180814 2007-11-01
15521 2007 12 1 F 173787 2007-12-01
15522 2007 12 1 M 181426 2007-12-01
15523 2008 1 1 F 174255 2008-01-01
15524 2008 1 1 M 182789 2008-01-01
15525 2008 2 1 F 165669 2008-02-01
15526 2008 2 1 M 173434 2008-02-01
15527 2008 3 1 F 172053 2008-03-01
15528 2008 3 1 M 179129 2008-03-01
15529 2008 4 1 F 169585 2008-04-01
15530 2008 4 1 M 177399 2008-04-01
15531 2008 5 1 F 173141 2008-05-01
15532 2008 5 1 M 182294 2008-05-01
15533 2008 6 1 F 169958 2008-06-01
15534 2008 6 1 M 179267 2008-06-01
15535 2008 7 1 F 183391 2008-07-01
15536 2008 7 1 M 192714 2008-07-01
15537 2008 8 1 F 182713 2008-08-01
15538 2008 8 1 M 191315 2008-08-01
15539 2008 9 1 F 179696 2008-09-01
15540 2008 9 1 M 188964 2008-09-01
15541 2008 10 1 F 175314 2008-10-01
15542 2008 10 1 M 183219 2008-10-01
15543 2008 11 1 F 158939 2008-11-01
15544 2008 11 1 M 165468 2008-11-01
15545 2008 12 1 F 173215 2008-12-01
15546 2008 12 1 M 181235 2008-12-01