python - Pandas df.to_csv ("file.csv"encode ="utf-8") 仍然为减号提供垃圾字符

我已经阅读了一些关于 Pandas 的 to_csv( ... etc ...) 的 Python 2 限制。我打中了吗？我使用的是 Python 2.7.3

当 ≥ 和 - 出现在字符串中时，结果是垃圾字符。除此之外，导出是完美的。

df.to_csv("file.csv", encoding="utf-8")

有什么解决方法吗？

df.head() 是这样的:

demography  Adults ≥49 yrs  Adults 18−49 yrs at high risk||  \
state
Alabama                 32.7                             38.6
Alaska                  31.2                             33.2
Arizona                 22.9                             38.8
Arkansas                31.2                             34.0
California              29.8                             38.8

csv输出是这个

state,  Adults ≥49 yrs,   Adults 18−49 yrs at high risk||
0,  Alabama,    32.7,   38.6
1,  Alaska, 31.2,   33.2
2,  Arizona,    22.9,   38.8
3,  Arkansas,31.2,  34
4,  California,29.8, 38.8

整个代码是这样的:

import pandas
import xlrd
import csv
import json

df = pandas.DataFrame()
dy = pandas.DataFrame()
# first merge all this xls together


workbook = xlrd.open_workbook('csv_merger/vaccoverage.xls')
worksheets = workbook.sheet_names()


for i in range(3,len(worksheets)):
    dy = pandas.io.excel.read_excel(workbook, i, engine='xlrd', index=None)
    i = i+1
    df = df.append(dy)

df.index.name = "index"

df.columns = ['demography', 'area','state', 'month', 'rate', 'moe']

#Then just grab month = 'May'

may_mask = df['month'] == "May"
may_df = (df[may_mask])

#then delete some columns we dont need

may_df = may_df.drop('area', 1)
may_df = may_df.drop('month', 1)
may_df = may_df.drop('moe', 1)


print may_df.dtypes #uh oh, it sees 'rate' as type 'object', not 'float'.  Better change that.

may_df = may_df.convert_objects('rate', convert_numeric=True)

print may_df.dtypes #that's better

res = may_df.pivot_table('rate', 'state', 'demography')
print res.head()


#and this is going to spit out an array of Objects, each Object a state containing its demographics
res.reset_index().to_json("thejson.json", orient='records')
#and a .csv for good measure
res.reset_index().to_csv("thecsv.csv", orient='records', encoding="utf-8")

最佳答案

您的“坏”输出是 UTF-8，显示为 CP1252。

在 Windows 上，如果文件开头没有字节顺序标记 (BOM) 字符，则许多编辑器假定默认的 ANSI 编码(美国 Windows 上的 CP1252)而不是 UTF-8。虽然 BOM 对 UTF-8 编码毫无意义，但它的 UTF-8 编码存在可用作某些程序的签名。例如，即使在非 Windows 操作系统上，Microsoft Office 的 Excel 也需要它。尝试:

df.to_csv('file.csv',encoding='utf-8-sig')

该编码器将添加 BOM。

关于python - Pandas df.to_csv ("file.csv"encode ="utf-8") 仍然为减号提供垃圾字符，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/25788037/