82b24e2cc70e1cfbcf85da55842e090c2a619471,examples/plotting/file/stocks.py,,,#,6

Before Change

p1 = figure(x_axis_type = "datetime")

p1.line(np.array(AAPL["date"], dtype=np.datetime64), AAPL["adj_close"], color="//A6CEE3", legend="AAPL")
p1.line(np.array(FB["date"], dtype=np.datetime64), FB["adj_close"], color="/ǗF78B4", legend="FB")
p1.line(np.array(GOOG["date"], dtype=np.datetime64), GOOG["adj_close"], color="//B2DF8A", legend="GOOG")
p1.line(np.array(IBM["date"], dtype=np.datetime64), IBM["adj_close"], color="/ችA02C", legend="IBM")
p1.line(np.array(MSFT["date"], dtype=np.datetime64), MSFT["adj_close"], color="//FB9A99", legend="MSFT")

After Change

p1.xaxis.axis_label = "Date"
p1.yaxis.axis_label = "Price"

p1.line(datetime(AAPL["date"]), AAPL["adj_close"], color="//A6CEE3", legend="AAPL")
p1.line(datetime(GOOG["date"]), GOOG["adj_close"], color="//B2DF8A", legend="GOOG")
p1.line(datetime(IBM["date"]), IBM["adj_close"], color="/ችA02C", legend="IBM")
p1.line(datetime(MSFT["date"]), MSFT["adj_close"], color="//FB9A99", legend="MSFT")

Instances