Python / Pandas - 用于查看DataFrame或Matrix的GUI [英] Python / Pandas - GUI for viewing a DataFrame or Matrix
问题描述
我真正喜欢的是一个简单的GUI,让我可以与数据框/矩阵进行交互/表。就像你在SQL工具中找到的。基本上是一个具有只读电子表格,如查看数据的窗口。我可以通过长桌子等来扩展列,上下翻页。
我会怀疑这样的东西存在,但是我必须使用错误的词语。如果它是大熊猫特定的,那将是巨大的,但我猜想我可以使用任何矩阵接受工具。 (BTW - 我在Windows上)
任何指针?
或者反过来说,如果有人知道这个空间很好,知道这可能不存在,任何建议如果有一个简单的GUI框架/小部件我可以用来滚动我自己的? (但是由于我的需求有限,我不愿意学习一个大的GUI框架,并为这一块做一堆编码。)
我使用PyQt中的 QTableWidget
显示一个 DataFrame
。我创建一个 QTableWidgetObject
,然后使用 DataFrame
QTableWidgetItems >值。
以下是读取CSV文件的代码片段,创建一个 DataFrame
,然后显示在GUI中:
df = read_csv(filename,index_col = 0,header = 0)
self.datatable = QtGui.QTableWidget(parent = self)
self.datatable .setColumnCount(len(df.columns))
self.datatable.setRowCount(len(df.index))
for i in range(len(df.index)):
for j在范围内(len(df.columns)):
self.datatable.setItem(i,j,QtGui.QTableWidgetItem(str(df.iget_value(i,j))))
I'm using the Pandas package and it creates a DataFrame object, which is basically a labeled matrix. Often I have columns that have long string fields, or dataframes with many columns, so the simple print command doesn't work well. I've written some text output functions, but they aren't great.
What I'd really love is a simple GUI that lets me interact with a dataframe / matrix / table. Just like you would find in a SQL tool. Basically a window that has a read-only spreadsheet like view into the data. I can expand columns, page up and down through long tables, etc.
I would suspect something like this exists, but I must be Googling with the wrong terms. It would be great if it is pandas specific, but I would guess I could use any matrix-accepting tool. (BTW - I'm on Windows.)
Any pointers?
Or, conversely, if someone knows this space well and knows this probably doesn't exist, any suggestions on if there is a simple GUI framework / widget I could use to roll my own? (But since my needs are limited, I'm reluctant to have to learn a big GUI framework and do a bunch of coding for this one piece.)
I use QTableWidget
from PyQt to display a DataFrame
. I create a QTableWidgetObject
and then populate with QTableWidgetItems
created with DataFrame
values.
Following is the snippet of code that reads a CSV file ,create a DataFrame
, then display in a GUI:
df = read_csv(filename, index_col = 0,header = 0)
self.datatable = QtGui.QTableWidget(parent=self)
self.datatable.setColumnCount(len(df.columns))
self.datatable.setRowCount(len(df.index))
for i in range(len(df.index)):
for j in range(len(df.columns)):
self.datatable.setItem(i,j,QtGui.QTableWidgetItem(str(df.iget_value(i, j))))
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