matplotlib: what's the difference with set_major_formatter() and fmt_xdata?
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I am new to matplotlib. And I copied code for simple pyqt-matplotlib example from here, and changed plot()
of class PlotCanvas
to make a Value-Time chart.
def plot(self):
dates = mdates.drange(dt.datetime(2010, 1, 1), dt.datetime(2010,1,2),
dt.timedelta(minutes=10))
y_val = [random.random() for i in range(len(dates))]
ax = self.figure.add_subplot(111)
ax.plot(dates, y_val)
use_major_formatter = True
if use_major_formatter:
ax.xaxis.set_major_formatter(mdates.DateFormatter('%m-%d %H:%M'))
else:
ax.fmt_xdata = DateFormatter('%%m-%d %H:%M')
self.figure.autofmt_xdate()
ax.set_title('PyQt Matplotlib Example')
self.draw()
Above code requires theseimports:
import matplotlib.dates as mdates
import datetime as dt
from matplotlib.dates import DateFormatter
I tried set_major_formatter()
and fmt_xdata
. And I've found fmt_xdata
doesn't work.
But why?
What's the difference with set_major_formatter() and fmt_xdata?
Notice: In the above code, I added if
statement to test two methods.
python matplotlib
add a comment |
I am new to matplotlib. And I copied code for simple pyqt-matplotlib example from here, and changed plot()
of class PlotCanvas
to make a Value-Time chart.
def plot(self):
dates = mdates.drange(dt.datetime(2010, 1, 1), dt.datetime(2010,1,2),
dt.timedelta(minutes=10))
y_val = [random.random() for i in range(len(dates))]
ax = self.figure.add_subplot(111)
ax.plot(dates, y_val)
use_major_formatter = True
if use_major_formatter:
ax.xaxis.set_major_formatter(mdates.DateFormatter('%m-%d %H:%M'))
else:
ax.fmt_xdata = DateFormatter('%%m-%d %H:%M')
self.figure.autofmt_xdate()
ax.set_title('PyQt Matplotlib Example')
self.draw()
Above code requires theseimports:
import matplotlib.dates as mdates
import datetime as dt
from matplotlib.dates import DateFormatter
I tried set_major_formatter()
and fmt_xdata
. And I've found fmt_xdata
doesn't work.
But why?
What's the difference with set_major_formatter() and fmt_xdata?
Notice: In the above code, I added if
statement to test two methods.
python matplotlib
add a comment |
I am new to matplotlib. And I copied code for simple pyqt-matplotlib example from here, and changed plot()
of class PlotCanvas
to make a Value-Time chart.
def plot(self):
dates = mdates.drange(dt.datetime(2010, 1, 1), dt.datetime(2010,1,2),
dt.timedelta(minutes=10))
y_val = [random.random() for i in range(len(dates))]
ax = self.figure.add_subplot(111)
ax.plot(dates, y_val)
use_major_formatter = True
if use_major_formatter:
ax.xaxis.set_major_formatter(mdates.DateFormatter('%m-%d %H:%M'))
else:
ax.fmt_xdata = DateFormatter('%%m-%d %H:%M')
self.figure.autofmt_xdate()
ax.set_title('PyQt Matplotlib Example')
self.draw()
Above code requires theseimports:
import matplotlib.dates as mdates
import datetime as dt
from matplotlib.dates import DateFormatter
I tried set_major_formatter()
and fmt_xdata
. And I've found fmt_xdata
doesn't work.
But why?
What's the difference with set_major_formatter() and fmt_xdata?
Notice: In the above code, I added if
statement to test two methods.
python matplotlib
I am new to matplotlib. And I copied code for simple pyqt-matplotlib example from here, and changed plot()
of class PlotCanvas
to make a Value-Time chart.
def plot(self):
dates = mdates.drange(dt.datetime(2010, 1, 1), dt.datetime(2010,1,2),
dt.timedelta(minutes=10))
y_val = [random.random() for i in range(len(dates))]
ax = self.figure.add_subplot(111)
ax.plot(dates, y_val)
use_major_formatter = True
if use_major_formatter:
ax.xaxis.set_major_formatter(mdates.DateFormatter('%m-%d %H:%M'))
else:
ax.fmt_xdata = DateFormatter('%%m-%d %H:%M')
self.figure.autofmt_xdate()
ax.set_title('PyQt Matplotlib Example')
self.draw()
Above code requires theseimports:
import matplotlib.dates as mdates
import datetime as dt
from matplotlib.dates import DateFormatter
I tried set_major_formatter()
and fmt_xdata
. And I've found fmt_xdata
doesn't work.
But why?
What's the difference with set_major_formatter() and fmt_xdata?
Notice: In the above code, I added if
statement to test two methods.
python matplotlib
python matplotlib
edited Jan 3 at 8:45
H. Jang
asked Jan 3 at 8:35


H. JangH. Jang
707
707
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
ax.xaxis.set_major_formatter()
and ax.fmt_xdata
are entirely different things.
The first, ax.xaxis.set_major_formatter()
, sets the formatter for the x axis in your plot. This is useful for showing the ticklabels in a required format.
The second, ax.fmt_xdata
is a function that takes in a data coordinate and formats it. It will by default just return the same as the major formatter. It is used internally to format the numbers in the GUI that are shown when moving the mouse around.
You can replace the ax.fmt_xdata
method by your own custom callable in case you want the GUI to show different numbers/strings than your axis.
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
ax.xaxis.set_major_formatter()
and ax.fmt_xdata
are entirely different things.
The first, ax.xaxis.set_major_formatter()
, sets the formatter for the x axis in your plot. This is useful for showing the ticklabels in a required format.
The second, ax.fmt_xdata
is a function that takes in a data coordinate and formats it. It will by default just return the same as the major formatter. It is used internally to format the numbers in the GUI that are shown when moving the mouse around.
You can replace the ax.fmt_xdata
method by your own custom callable in case you want the GUI to show different numbers/strings than your axis.
add a comment |
ax.xaxis.set_major_formatter()
and ax.fmt_xdata
are entirely different things.
The first, ax.xaxis.set_major_formatter()
, sets the formatter for the x axis in your plot. This is useful for showing the ticklabels in a required format.
The second, ax.fmt_xdata
is a function that takes in a data coordinate and formats it. It will by default just return the same as the major formatter. It is used internally to format the numbers in the GUI that are shown when moving the mouse around.
You can replace the ax.fmt_xdata
method by your own custom callable in case you want the GUI to show different numbers/strings than your axis.
add a comment |
ax.xaxis.set_major_formatter()
and ax.fmt_xdata
are entirely different things.
The first, ax.xaxis.set_major_formatter()
, sets the formatter for the x axis in your plot. This is useful for showing the ticklabels in a required format.
The second, ax.fmt_xdata
is a function that takes in a data coordinate and formats it. It will by default just return the same as the major formatter. It is used internally to format the numbers in the GUI that are shown when moving the mouse around.
You can replace the ax.fmt_xdata
method by your own custom callable in case you want the GUI to show different numbers/strings than your axis.
ax.xaxis.set_major_formatter()
and ax.fmt_xdata
are entirely different things.
The first, ax.xaxis.set_major_formatter()
, sets the formatter for the x axis in your plot. This is useful for showing the ticklabels in a required format.
The second, ax.fmt_xdata
is a function that takes in a data coordinate and formats it. It will by default just return the same as the major formatter. It is used internally to format the numbers in the GUI that are shown when moving the mouse around.
You can replace the ax.fmt_xdata
method by your own custom callable in case you want the GUI to show different numbers/strings than your axis.
answered Jan 4 at 9:51


ImportanceOfBeingErnestImportanceOfBeingErnest
141k13167244
141k13167244
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