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Hi thanks for this great example! I try to plot my weewx data, which is pretty similar table.
But plotting the rose throws an exception which I don't understand
ValueError: shape mismatch: objects cannot be broadcast to a single shape
...
ax.bar(bar_dir, rosedata[c1].values,
width=bar_width,
color=palette[0],
edgecolor='none',
label=c1,
linewidth=0)
Because I don't understand this part well enough, could you point me, if this rose object looks ok for you?
<class 'pandas.core.frame.DataFrame'>
CategoricalIndex: 25 entries, 0.0 to 360.0
Data columns (total 8 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 calm 25 non-null float64
1 0 - 5 m/s 25 non-null float64
2 5 - 10 m/s 25 non-null float64
3 10 - 15 m/s 25 non-null float64
4 15 - 20 m/s 25 non-null float64
5 20 - 25 m/s 25 non-null float64
6 25 - 30 m/s 25 non-null float64
7 >30 m/s 25 non-null float64
dtypes: float64(8)
memory usage: 2.4 KB
@Matthias84 -- that's not enough info for me to provide manful advice. I recommend you look at cloudside, where I put all of this into a single function
I'm getting:
sta = metar.WeatherStation('KPDX')
AttributeError: module 'metar' has no attribute 'WeatherStation'
..?
I'm getting:
sta = metar.WeatherStation('KPDX')
AttributeError: module 'metar' has no attribute 'WeatherStation'
..?
@BDJensen -- checkout https://github.com/geosyntec/cloudside -- that's where all of this stuff lives now. More to the point, the purpose of that section of code was to download the data. You can skip it and get the data anyway you want.
Great code, thanks a lot!
Hi, thank you very much for your code.
Is there a way to centralize the bins with the grid lines? In my example, they start from the class limits, as you can see in the image.
I could not identify which parameter is responsible for this.
Please, find the dataset used for the plot.
Best regards,
Felipe Amorim
@fllamorim Hard to guess from what you've provided. My best guess is that you need re-define your bins to actually be centered. In my example, the bins are numerically and graphically centered. If you define the bins correctly, you shouldn't need to tweak any graphical parameters.
I ran across an issue. If my data don't have wind information in a specific direction the dataframe 'rose' ends with an incorrect number of rows, without any information for the missing directions. In order to plot it correctly you need rows for these directions filled with zeroes. I solved with this little code right after creating the 'rose' dataframe: