#!/usr/bin/env python
# coding: utf-8

# In[1]:


import numpy as np


# ## 1D array

# In[2]:


a = np.array([10, 2, 4, 50])
a


# In[3]:


np.pad(a, pad_width=1, mode="wrap")


# ## 2D array

# In[4]:


a = np.array([[10, 2, 4, 50], [5, 4, 1, -3]])
a


# In[5]:


np.pad(a, pad_width=1, mode="wrap")


# ## vector field

# In[6]:


a = np.ones((3, 2, 2, 3))

import discretisedfield as df

padding_sequence = df.util.assemble_index((0, 0), 4, {0: (1, 1)})
padding_sequence


# In[7]:


np.pad(a, pad_width=((1, 1), (0, 0), (0, 0), (0, 0)), mode="constant")


# In[8]:


a


# In[9]:


np.delete(a, (0, -1), axis=0)


# In[10]:


a = np.array([[10, 2, 4, 50], [5, 4, 1, -3]])
a


# In[11]:


np.delete(a, (0, a.shape[1] - 1), axis=1)


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a = np.array([1, 2, 3, 4])
np.gradient(a)


# In[15]:


pa = np.pad(a, (1, 1))
pa


# In[16]:


np.gradient(pa)


# In[18]:


a = np.ones((2, 1, 1, 3))
a


# In[20]:


np.pad(a, ((1, 1), (0, 0), (0, 0), (0, 0))).shape


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