File:Ngrip deltao18 middle weichselian 59000 45000 1.svg
Original file (SVG file, nominally 1,620 × 630 pixels, file size: 372 KB)
Captions
Captions
Summary edit
| Description |
English: NGRIP Delta-O18 |
| Date | |
| Source | Own work |
| Author | Merikanto |
Data for this file is from
http://www.iceandclimate.nbi.ku.dk/data/NGRIP_d18O_and_dust_5cm.xls http://www.iceandclimate.nbi.ku.dk/data/ processed to csv
δ18O values and dust concentrations
The dataset provides NGRIP δ18O
values, dust concentrations, and GICC05 ages in 5cm depth resolution for the
period 0-60 ka (δ18O) and 10-60 ka (dust).
The dataset accompany the following papers:
NGRIP members, Nature, 431, 147-151, 2004. DOI: 10.1038/nature02805
Gkinis et al., Earth Planet. Sci. Lett., 405, 132-141, 2014. DOI:
10.1016/j.epsl.2014.08.022
Ruth et al., J. Geophys. Res., 108, 4098, 2003. DOI: 4010.1029/2002JD002376
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- drawing climate diagram in python 3
- version 4000.0002
- 6.10.2021
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import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy import interpolate
from matplotlib.ticker import (MultipleLocator, AutoMinorLocator)
import scipy.signal
import matplotlib.colors as colors
import math as math
datafilename="ngrip1.csv"
captioni="Middle and Late Weichselian, NGRIP delta-O18"
savename="ngrip_dryas.svg"
beginx=45000
endx=59000
- beginx=10500
- endx=11700
- beginy=-31
- endy=-42
beginy=-30
endy=-50
figsizex=18
figsizey=7
yearspan=math.fabs(endx-beginx)
dfin0=pd.read_csv(datafilename, sep=";")
lst1=['gicc05_age','delta_O18']
dfin1 = dfin0[dfin0.columns.intersection(lst1)]
x0=dfin1['gicc05_age']
y0=dfin1['delta_O18']
x=np.array(x0)
y=np.array(y0)
size0=14
size1=16
size2=18
size3=22
x_sm = np.array(x)
y_sm = np.array(y)
x_smooth = np.linspace(beginx,endx, yearspan*10)
funk1 = interpolate.interp1d(x_sm, y_sm, kind="cubic")
y_smooth = funk1(x_smooth)
y_savgol1 = scipy.signal.savgol_filter(y_smooth,11, 3)
y_savgol2 = scipy.signal.savgol_filter(y_smooth,501, 3)
- a=np.outer(np.ones(2),y_smooth)
a=np.outer(np.ones(2),y_savgol2)
cmap1="RdBu"
cmap1="hsv"
cmap1="seismic"
cmap1="bwr"
clam1="coolwarm1"
print (type(cmap1))
- fig=plt.gca()
- plt.figure(figsize=(figsizex, figsizey))
plt.rcParams["figure.figsize"] = [figsizex, figsizey]
- plt.imshow(a,aspect='auto', cmap=cmap1, extent=[beginx, endx,-50,-30], alpha=0.5)
plt.imshow(a,aspect='auto', cmap=cmap1, extent=[beginx, endx,endy,beginy], alpha=0.5)
plt.xlim(beginx, endx)
plt.ylim(endy, beginy)
plt.plot(x_smooth, y_savgol1, color="#0000ff", alpha=0.33, linewidth=1)
plt.plot(x_smooth, y_savgol2, color="#0000ff", linewidth=2)
plt.title(captioni, fontsize=size3, color="#0000af")
plt.xlabel('Age BP', color="darkgreen", fontsize=21)
plt.ylabel('delta-O18', color="darkgreen", fontsize=21)
plt.xticks(fontsize=17)
plt.yticks(fontsize=17)
plt.gca().invert_xaxis()
- mng = plt.get_current_fig_manager()
- mng.window.state('zoomed')
plt.savefig('figure.svg')
plt.show()
Licensing edit
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 16:58, 6 October 2021 | | 1,620 × 630 (372 KB) | Merikanto (talk | contribs) | Update |
| 17:47, 4 October 2021 |  | 1,409 × 609 (349 KB) | Merikanto (talk | contribs) | Uploaded own work with UploadWizard |
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