2 回答

TA贡献1844条经验 获得超8个赞
这在很大程度上对我有用:
fout = open("file.txt", 'w', encoding='utf-8')
df = df[['Yoruba', 'Translation', 'Meaning']]
lengths = [len(max(val, key=len)) for val in df.values.T]
for i in range(len(df.columns)-1):
fout.write("{heading:<{length}} ".format(heading=df.columns[i], length=lengths[i]))
fout.write("{}\n".format(df.columns[-1]))
rows, columns = df.values.shape
for i in range(rows):
for j in range(columns-1):
fout.write("{val:<{number}} ".format(val=df.values[i,j], number=lengths[j]))
fout.write("{}\n".format(df.values[i, j+1]))
fout.close()
我认为您缺少的是“encoding='utf-8'”。希望这可以帮助!

TA贡献1848条经验 获得超6个赞
在这种情况下,您的输入文本编码和您尝试执行的 panda 输出编码之间似乎存在问题。
请看一下这个答案:here on how to handle encoding anddecode characters when writing and reading characters(你可能需要不同于UTF-8!)
至于输出样式,一种更简单的机制可能是使用 csv,如此处所示, 并使用空格来分隔查看,因为您的数据已经是 pandas 的表格形式。
在我的情况下,这可以作为使用连接的替代方法。如果您有任何其他问题,请尝试使用编码/解码。
import pandas as pd
import csv
def print_table(dataframe):
with open('file.csv', 'w', newline="") as csvfile:
writer = csv.writer(csvfile, delimiter="\t", quotechar='', quoting=csv.QUOTE_NONE)
writer.writerow(heading) for heading in dataframe.columns)
for row in dataframe.values:
writer.writerow(row)
df = pd.DataFrame({
'Yoruba': [
'Wèrè èèyàn ní ńwípé irú òun ò sí; irú ẹ̀ẹ́ pọ̀ ó ju ẹgbàágbèje lọ.',
'Wọ́n ńpe gbẹ́nàgbẹ́nà ẹyẹ àkókó ńyọjú.'
],
'Translation': [
'Only an imbecile asserts that there is none like him or her; his or her likes are numerous, '
'numbering more than millions.',
'The call goes out for a carpenter and the woodpecker presents itself.'
],
'Meaning': [
'No one is incomparable.',
"One should not think too much of one's capabilities."
]
})
print_table(df)
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