5d906c0dc01ecac8102195cec0dc922da2b91ac0,lib/streamlit/VegaLiteChart.py,,,#,56
Before Change
// See https://vega.github.io/vega-lite/docs/encoding.html
_ENCODINGS = set([
"x",
"y",
"x2",
"y2",
"longitude",
"latitude",
"color",
"opacity",
"size",
"shape",
"text",
"tooltip",
"href",
"key",
"order",
"detail",
"row",
"column",
])
// TODO: Figure out how to make this work with layers
def unflatten(flat_dict):
After Change
// Python 2/3 compatibility
from __future__ import print_function, division, unicode_literals, absolute_import
from streamlit.compatibility import setup_2_3_shims
setup_2_3_shims(globals())
import json
import pandas as pd
import sys
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances
Project Name: streamlit/streamlit
Commit Name: 5d906c0dc01ecac8102195cec0dc922da2b91ac0
Time: 2018-08-14
Author: thiagot@gmail.com
File Name: lib/streamlit/VegaLiteChart.py
Class Name:
Method Name:
Project Name: streamlit/streamlit
Commit Name: 65d5f3c1e54f19dd20a186adcb7af89bc77b60bd
Time: 2018-08-16
Author: thiagot@gmail.com
File Name: lib/streamlit/VegaLiteChart.py
Class Name:
Method Name:
Project Name: streamlit/streamlit
Commit Name: af39075a43abd1797b7e0666456d989548363f92
Time: 2018-08-13
Author: thiagot@gmail.com
File Name: lib/streamlit/VegaLiteChart.py
Class Name:
Method Name: