pandas 打印没有省略号的 numpy 数组
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Print numpy array without ellipsis
提问by Harjatin
I want to print a numpy array without truncation. I have seen other solutions but those don't seem to work.
我想打印一个不截断的 numpy 数组。我见过其他解决方案，但这些解决方案似乎不起作用。
Here is the code snippet:
这是代码片段：
total_list = np.array(total_list)
np.set_printoptions(threshold=np.inf)
print(total_list)
And this is what the output looks like:
这就是输出的样子：
22 A
23 G
24 C
25 T
26 A
27 A
28 A
29 G
..
232272 G
232273 T
232274 G
232275 C
232276 T
232277 C
232278 G
232279 T
This is the entire code. I might be making a mistake in type casting.
这是整个代码。我可能在类型转换上犯了一个错误。
import csv
import pandas as pd
import numpy as np
seqs = pd.read_csv('BAP_GBS_BTXv2_imp801.hmp.csv')
plts = pd.read_csv('BAP16_PlotPlan.csv')
required_rows = np.array([7,11,14,19,22,31,35,47,50,55,58,63,66,72,74,79,82,87,90,93,99])
total_list = []
for i in range(len(required_rows)):
curr_row = required_rows[i];
print(curr_row)
for j in range(len(plts.RW)):
if(curr_row == plts.RW[j]):
curr_plt = plts.PI[j]
curr_range = plts.RA1[j]
curr_plt = curr_plt.replace("_", "").lower()
if curr_plt in seqs.columns:
new_item = [curr_row,curr_range,seqs[curr_plt]]
total_list.append(new_item)
print(seqs[curr_plt])
total_list = np.array(total_list)
'''
np.savetxt("foo.csv", total_list[:,2], delimiter=',',fmt='%s')
total_list[:,2].tofile('seqs.csv',sep=',',format='%s')
'''
np.set_printoptions(threshold='nan')
print(total_list)
回答by Szabolcs Dombi
use the following snippet to get no ellipsis.
使用以下代码段不会出现省略号。
import numpy
import sys
numpy.set_printoptions(threshold=sys.maxsize)
EDIT:
编辑：
If you have a pandas.DataFrameuse the following snippet to print your array:
如果您有pandas.DataFrame使用以下代码段来打印您的数组：
def print_full(x):
pd.set_option('display.max_rows', len(x))
print(x)
pd.reset_option('display.max_rows')
Or you can use the pandas.DataFrame.to_string()method to get the desired result.
或者您可以使用pandas.DataFrame.to_string()方法来获得所需的结果。
EDIT':
编辑'：
An earlier version of this post suggested the option below
这篇文章的早期版本建议了以下选项
numpy.set_printoptions(threshold='nan')
Technically, this might work, however, the numpy documentation specifies int and None as allowed types. Reference: https://docs.scipy.org/doc/numpy/reference/generated/numpy.set_printoptions.html.
从技术上讲，这可能有效，但是，numpy 文档将 int 和 None 指定为允许的类型。参考：https: //docs.scipy.org/doc/numpy/reference/generated/numpy.set_printoptions.html。
回答by a p
You can get around the weird Numpy repr/print behavior by changing it to a list:
您可以通过将其更改为 a 来解决奇怪的 Numpy repr/print 行为list：
print list(total_list)
should print out your list of 2-element np arrays.
应该打印出您的 2 元素 np 数组列表。
回答by Szabolcs Dombi
You are notprinting numpy arrays.
您不是在打印 numpy 数组。
Add the following line after the imports:
在导入后添加以下行：
pd.set_option('display.max_rows', 100000)
回答by GrigoreG
#for a 2d array
def print_full(x):
dim = x.shape
pd.set_option('display.max_rows', dim[0])#dim[0] = len(x)
pd.set_option('display.max_columns', dim[1])
print(x)
pd.reset_option('display.max_rows')
pd.reset_option('display.max_columns')
回答by simonalexander2005
It appears that as of Python 3, the threshold can no longer be unlimited.
从 Python 3 开始，阈值似乎不再是无限的。
Therefore, the recommended option is:
因此，推荐的选项是：
import numpy
import sys
numpy.set_printoptions(threshold=sys.maxsize)
