Question

我有以下代码：

##Overall reported expertise men vs women

import sys, re
import numpy as np
import smtplib
import matplotlib.pyplot as plt
from random import randint
import csv
import pylab as pl
import math
import pandas as pd
from pandas.tools.plotting import scatter_matrix
import argparse

parser = argparse.ArgumentParser()
parser.add_argument('-inVar', '--x', help = 'independent variable')

if len(sys.argv) == 1:
    parser.print_help()
    sys.exit(1)

args = parser.parse_args()

##Manipulating data so it can be graphed more easily
df1 = pd.read_csv('atc17-pcinfo.csv')
df1['Gender'] = df1['Gender'].replace(['M'], int(1))
df1['Gender'] = df1['Gender'].replace(['F'], int(2))
df1['Gender'] = df1['Gender'].convert_objects(convert_numeric = True)

x = df1['Gender']
y = df1['topic: Big data infrastructure']
print list(df1)

ax = df1.plot.scatter(x = x, y = y)
labels = [item.get_text() for item in ax.get_xticklabels()]
labels[1] = 'M'
labels[6] = 'F'
ax.set_xticklabels(labels)
#ax.set_title(y + ' vs. ' + x, fontsize=20)
plt.xlabel(x, fontsize=16)
plt.ylabel(y, fontsize=16)
plt.show()

我正在尝试使用df1中的数据创建散点图。在我操纵数据之后：

 Gender    topic: Big data infrastructure
    0     2     NaN
    1     1     -1
    2     1     -1
    3     1     -1
    4     2     1
    5     1     NaN
    6     1     NaN
    7     1     NaN
    8     1     -2
    9     1     1
    10    2     1
    11    1     NaN
    12    1     1
    13    1     -1
    14    1     1
    15    1     NaN
    16    1     NaN
    17    1     NaN
    18    1     -1
    19    1     -2
    20    2     1
    21    1     NaN
    22    1     NaN
    23    2     2
    24    1     -2
    25    2     2
    26    1     NaN
    27    1     2
    28    1     1
    29    1     NaN
    30    1     2
    31    1     NaN
    32    1     NaN
    33    2     2
    34    1     2

但是我收到了这个错误：

     KeyError('%s not in index' % objarr[mask])
KeyError: '[ nan  -1.  -1.  -1.   1.  nan  nan  nan  -2.   1.   1.  nan   1.  -1.   1.\n  nan  nan  nan  -1.  -2.   1.  nan  nan   2.  -2.   2.  nan   2.   1.  nan\n   2.  nan  nan   2.   2.] not in index'

有人可以帮我找出原因吗？我看了几个消息来源，但我没看到我的例子是如何与他们相关的。

Answer 1

我认为你有两个问题：

第一个是您滥用x方法的y和scatter参数。它们应该传递所需列的列名，而不是实际值！因此，它应该像这样使用：

ax = df1.plot.scatter(x = "Gender", y = "topic: Big data infrastructure")

你的第二个问题是你还没有转换你的大数据＆＃39;将列列为数字值，就像使用＆＃39;性别＆＃39;之一。

这应该做的工作：

df1['topic: Big data infrastructure'] = df1['topic: Big data infrastructure'].convert_objects(convert_numeric = True)

由于在DataFrame操作过程中你会经常使用列名，我建议你使用更短更简单的名字......

下面是一个工作示例：

# Read your copied df, saved as test.csv
df1 = pd.read_csv("test.csv",sep=",")

#rename df for easier work
df1.columns = ["Gender","Big_Data"]

# convert strings into floats/integers
df1 = df1.convert_objects(convert_numeric=True)

#Create figure by selecting desired columns as input x and y
ax = df1.plot.scatter(x = "Gender", y ="Big_Data")
fig = ax.get_figure()
fig.savefig('its_working.png')

＆＃39;％s不在索引＆＃39; ％objarr [mask]

1 个答案: