Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add XY_7_2 plot #28

Merged
merged 9 commits into from
Jan 24, 2020
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
94 changes: 94 additions & 0 deletions Plots/XY/xy_7_2_lg.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,94 @@
"""
xy_7_2_lg.py
===============
An example of a double y plot: two separate line with their own unique axis.

- Original NCL script: https://www.ncl.ucar.edu/Applications/Scripts/xy_7.ncl
- https://www.ncl.ucar.edu/Applications/Images/xy_7_2_lg.png

"""

###############################################################################
# Import modules
# ===============

import matplotlib.pyplot as plt
import numpy as np
import xarray as xr
import geocat.datafiles

################################################################################
# Open data file and extract a slice of the data
# ===============================================

dset = xr.open_dataset(geocat.datafiles.get("netcdf_files/TestData.xy3.nc"))
ds = dset.isel(case=0, time=slice(0, 36))


################################################################################
# Create XY plot with two different Y axes
# =========================================


def nclize_axis(ax):
"""
Utility function to make plots look like NCL plots
"""
import matplotlib.ticker as tic

ax.tick_params(labelsize="small")
ax.minorticks_on()
ax.xaxis.set_minor_locator(tic.AutoMinorLocator(n=5))
ax.yaxis.set_minor_locator(tic.AutoMinorLocator(n=3))

# length and width are in points and may need to change depending on figure size etc.
ax.tick_params(
"both",
length=8,
width=1.5,
which="major",
bottom=True,
top=True,
left=True,
right=True,
)
ax.tick_params(
"both",
length=5,
width=0.75,
which="minor",
bottom=True,
top=True,
left=True,
right=True,
)


fig, ax1 = plt.subplots(figsize=(12, 8))
nclize_axis(ax1)
ax1.set_xlabel(ds.time.long_name, fontsize=24)
ax1.set_ylabel(f"{ds.T.long_name} [solid]", fontsize=24)
ax1.plot(ds.time, ds.T, color="blue", linestyle="-", linewidth=2.0)
ax1.tick_params(axis="both", labelsize=20)
ax1.set_xlim(xmin=1970, xmax=1973)
ax1.set_ylim(ymin=0.0, ymax=16.0)
ax1.set_yticks(np.arange(0, 17, 3))


ax2 = ax1.twinx()
nclize_axis(ax2)


# we already handled the x-label with ax1

ax2.set_ylabel(f"{ds.P.long_name} [dash]", fontsize=24)
ax2.plot(ds.time, ds.P, color="red", linestyle="--", linewidth=2.0, dashes=[6.5, 3.7])
ax2.tick_params(axis="both", labelsize=20)
ax2.set_ylim(ymin=1008, ymax=1024.0)
ax2.set_yticks(np.arange(1008, 1025, 3))


plt.title("Curves Offset", fontsize=24, fontweight="bold", y=1.05)

fig.tight_layout()
plt.show()