dft.geckoHistorical('bitcoin')

[gumartinez]

Buenas, intento correr el codigo en Spyder:

dft.geckoHistorical('bitcoin')

y me da el error

dft.geckoHistorical('bitcoin') Traceback (most recent call last):

File "", line 1, in dft.geckoHistorical('bitcoin')

File "C:\Users\gmartinez\Anaconda3\lib\site-packages\defi\defi_tools.py", line 227, in geckoHistorical df[0] = pd.to_datetime(df[0], unit='ms')

File "C:\Users\gmartinez\Anaconda3\lib\site-packages\pandas\core\frame.py", line 2938, in setitem self._set_item(key, value)

File "C:\Users\gmartinez\Anaconda3\lib\site-packages\pandas\core\frame.py", line 3001, in _set_item NDFrame._set_item(self, key, value)

File "C:\Users\gmartinez\Anaconda3\lib\site-packages\pandas\core\generic.py", line 3624, in _set_item self._data.set(key, value)

File "C:\Users\gmartinez\Anaconda3\lib\site-packages\pandas\core\internals\managers.py", line 1086, in set for blkno, val_locs in libinternals.get_blkno_placements(blknos, group=True):

File "pandas_libs\internals.pyx", line 448, in get_blkno_placements

File "pandas_libs\internals.pyx", line 352, in pandas._libs.internals.get_blkno_indexers

ValueError: Buffer has wrong number of dimensions (expected 1, got 0)

Cuando lo hago en colab no me sucede esto.

[gauss314]

Es alguna actualizacion de pandas de tu anaconda local, por eso no tenes el error en colab, te sugiero abrir el anaconda prompt y ejecutar esto:

conda update --all

va a tardar 15 minutos pero luego de eso deberia andar bien

[gumartinez]

Actualice conda y cuando corro

import yfinance as yf import seaborn as sns import numpy as np import calendar import matplotlib.pyplot as plt from matplotlib.gridspec import GridSpec from matplotlib.colors import LinearSegmentedColormap import pandas as pd import seaborn as sns pd.options.plotting.backend = "plotly"

cmap_jp = LinearSegmentedColormap.from_list('Custom', ('red','black','green'), N=256)

df = yf.download('GDX', auto_adjust=True, progress=False) df = df.loc[df.index.year > 1980].copy() df["Year"] = df.index.year df["Month"] = df.index.month df = df.resample('M').last() df['variacion'] = df.Close.pct_change() tabla = df.pivot_table(index="Year",columns="Month",values="variacion") meses = [x[:3] for x in list(calendar.month_name[1:])] tabla.columns = meses

plt.style.use('dark_background') #plt.style.use('classic') """ https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html""" fig = plt.figure(figsize=(20,12)) gs = GridSpec(nrows=3,ncols=2, figure=fig, width_ratios=[2.5,1], hspace=0.2, wspace=0.1, top=.9) ax_l = fig.add_subplot(gs[:,0]) ax_r = [fig.add_subplot(gs[i,1]) for i in range(3)]

sc = lambda y: (y - y.min()) / (y.max() - y.min()) ax_r[0].bar(meses, tabla.mean(), color=cmap_jp(sc(tabla.mean())), label='Media', width=.7, edgecolor='gray') ax_r[1].bar(meses, tabla.median(), color=cmap_jp(sc(tabla.median())), label = 'Mediana', width=.7, edgecolor='gray') ax_r[2].bar(meses, tabla.kurt(), color=cmap_jp(sc(tabla.kurt())), label = 'Kurtosis', width=.7, edgecolor='gray') [ax_r[i].legend(fontsize=12) for i in range(3)] [ax_r[i].grid(alpha=.5) for i in range(3)]

sns.heatmap(tabla, annot=True, ax=ax_l, cmap=cmap_jp, fmt='.2%', vmax=0.15, vmin=-0.15, cbar_kws={"shrink": 0.6}) ax_l.set_title('SP500 Rendimientos Mensuales 1981-2021', fontsize=15) print('\n') plt.show() print('\n')

El kernel se muere y no ejecuta, sin embargo otros codigos los corre sin problema

[gauss314]

Anda borrando lineas de abajo hacia arriba a ver cual es la conflictiva, es raro a mi me corre lo mas bien, seguro es alguna libreria en tu instalacion que te esta generando un conflicto